Merge remote-tracking branch 'refs/remotes/origin/dev.template' into dev
commit
9846c72b3b
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@ -1,54 +0,0 @@
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package com.muyu.template.config;
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import org.apache.kafka.clients.consumer.KafkaConsumer;
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import org.apache.kafka.common.serialization.Deserializer;
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import org.apache.kafka.common.serialization.StringDeserializer;
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import org.springframework.context.annotation.Bean;
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import org.springframework.context.annotation.Configuration;
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import java.util.HashMap;
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import java.util.Map;
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/**
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*Kafka消费者配置
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* @author liuxinyue
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* @Package:com.muyu.mqtt.configure
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* @Project:cloud-server
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* @name:KafkaConsumerConfig
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* @Date:2024/9/28 23:42
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*/
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@Configuration
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public class KafkaConsumerConfig {
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@Bean
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public KafkaConsumer kafkaConsumer() {
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Map<String, Object> configs = new HashMap<>();
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//kafka服务端的IP和端口,格式:(ip:port)
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configs.put("bootstrap.servers", "47.101.53.251:9092");
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//开启consumer的偏移量(offset)自动提交到Kafka
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configs.put("enable.auto.commit", true);
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//consumer的偏移量(offset) 自动提交的时间间隔,单位毫秒
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configs.put("auto.commit.interval", 5000);
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//在Kafka中没有初始化偏移量或者当前偏移量不存在情况
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//earliest, 在偏移量无效的情况下, 自动重置为最早的偏移量
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//latest, 在偏移量无效的情况下, 自动重置为最新的偏移量
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//none, 在偏移量无效的情况下, 抛出异常.
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configs.put("auto.offset.reset", "latest");
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//请求阻塞的最大时间(毫秒)
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configs.put("fetch.max.wait", 500);
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//请求应答的最小字节数
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configs.put("fetch.min.size", 1);
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//心跳间隔时间(毫秒)
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configs.put("heartbeat-interval", 3000);
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//一次调用poll返回的最大记录条数
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configs.put("max.poll.records", 500);
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//指定消费组
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configs.put("group.id", "kafka_grop");
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//指定key使用的反序列化类
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Deserializer keyDeserializer = new StringDeserializer();
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//指定value使用的反序列化类
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Deserializer valueDeserializer = new StringDeserializer();
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//创建Kafka消费者
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KafkaConsumer kafkaConsumer = new KafkaConsumer(configs, keyDeserializer, valueDeserializer);
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return kafkaConsumer;
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}
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}
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@ -1,49 +0,0 @@
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package com.muyu.template.config;
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import org.apache.kafka.clients.producer.KafkaProducer;
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import org.apache.kafka.common.serialization.Serializer;
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import org.apache.kafka.common.serialization.StringSerializer;
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import org.springframework.context.annotation.Bean;
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import org.springframework.context.annotation.Configuration;
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import java.util.HashMap;
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import java.util.Map;
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/**
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* Kafka生产者配置
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* @author liuxinyue
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* @Package:com.muyu.mqtt.configure
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* @Project:cloud-server
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* @name:KafkaProviderConfig
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* @Date:2024/9/28 23:50
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*/
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@Configuration
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public class KafkaProviderConfig {
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@Bean
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public KafkaProducer kafkaProducer() {
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Map<String, Object> configs = new HashMap<>();
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//#kafka服务端的IP和端口,格式:(ip:port)
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configs.put("bootstrap.servers", "47.116.173.119:9092");
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//客户端发送服务端失败的重试次数
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configs.put("retries", 2);
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//多个记录被发送到同一个分区时,生产者将尝试将记录一起批处理成更少的请求.
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//此设置有助于提高客户端和服务器的性能,配置控制默认批量大小(以字节为单位)
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configs.put("batch.size", 16384);
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//生产者可用于缓冲等待发送到服务器的记录的总内存字节数(以字节为单位)
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configs.put("buffer-memory", 33554432);
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//生产者producer要求leader节点在考虑完成请求之前收到的确认数,用于控制发送记录在服务端的持久化
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//acks=0,设置为0,则生产者producer将不会等待来自服务器的任何确认.该记录将立即添加到套接字(socket)缓冲区并视为已发送.在这种情况下,无法保证服务器已收到记录,并且重试配置(retries)将不会生效(因为客户端通常不会知道任何故障),每条记录返回的偏移量始终设置为-1.
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//acks=1,设置为1,leader节点会把记录写入本地日志,不需要等待所有follower节点完全确认就会立即应答producer.在这种情况下,在follower节点复制前,leader节点确认记录后立即失败的话,记录将会丢失.
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//acks=all,acks=-1,leader节点将等待所有同步复制副本完成再确认记录,这保证了只要至少有一个同步复制副本存活,记录就不会丢失.
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configs.put("acks", "-1");
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//指定key使用的序列化类
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Serializer keySerializer = new StringSerializer();
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//指定value使用的序列化类
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Serializer valueSerializer = new StringSerializer();
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//创建Kafka生产者
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KafkaProducer kafkaProducer = new KafkaProducer(configs, keySerializer, valueSerializer);
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return kafkaProducer;
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}
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}
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@ -3,12 +3,18 @@ import cn.hutool.json.JSONObject;
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import com.alibaba.fastjson2.JSON;
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import com.muyu.common.domain.MessageTemplateType;
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import com.muyu.common.domain.SysCar;
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import com.muyu.common.kafka.config.KafkaProducerConfig;
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import com.muyu.common.redis.service.RedisService;
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import lombok.extern.log4j.Log4j2;
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import org.apache.kafka.clients.producer.KafkaProducer;
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import org.apache.kafka.clients.producer.ProducerRecord;
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import org.eclipse.paho.client.mqttv3.*;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.data.redis.core.RedisTemplate;
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import org.springframework.stereotype.Component;
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import org.springframework.web.bind.annotation.PostMapping;
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import org.springframework.web.bind.annotation.RequestParam;
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import javax.annotation.PostConstruct;
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import javax.annotation.Resource;
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import java.util.List;
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@ -23,129 +29,135 @@ import java.util.List;
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@Log4j2
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@Component
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public class MqttConfigure {
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// @Autowired
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// private RedisService redisService;
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//
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// @Resource
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// private SysCarService sysCarService;
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//
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// @Resource
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// private SysCarServiceImpl service;
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//
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// @Resource
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// private MessageTemplateTypeService messageTemplateTypeService;
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//
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// @Autowired
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// private RedisTemplate redisTemplate;
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//
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// @PostConstruct
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// public void MQTTMonitoring(){
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//
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// String topic = "vehicle";
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// int qos = 2;
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// String broker = "tcp://47.101.53.251:1883";
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// String clientId = "测试mqtt";
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// try {
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// MqttClient sampleClient = new MqttClient(broker, clientId);
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// MqttConnectOptions connOpts = new MqttConnectOptions();
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// //是否清空session
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// connOpts.setCleanSession(true);
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// log.info("Connecting to broker: " + broker);
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// //连接
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// sampleClient.connect(connOpts);
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// sampleClient.subscribe(topic,qos);
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// sampleClient.setCallback(new MqttCallback() {
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// //连接丢失(报错)
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// @Override
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// public void connectionLost(Throwable throwable) {
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// log.error("error:"+throwable.getMessage());
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// }
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// //消息已经接收到
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// @Override
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// public void messageArrived(String s, MqttMessage mqttMessage) throws Exception {
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// // 将MQTT消息转换为字符串
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// String messageContent = new String(mqttMessage.getPayload());
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// // 解析JSON字符串
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// JSONObject jsonObject = new JSONObject(messageContent);
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// // 从JSON对象中获取"msg"字段的值
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// String msgValue = jsonObject.getStr("msg");
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// messageParsing(msgValue);
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// log.info("接收到的值为:"+msgValue);
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// }
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// //交付完成
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// @Override
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// public void deliveryComplete(IMqttDeliveryToken iMqttDeliveryToken) {
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//
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// }
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// });
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// } catch(MqttException me) {
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// System.out.println("reason "+me.getReasonCode());
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// System.out.println("msg "+me.getMessage());
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// System.out.println("loc "+me.getLocalizedMessage());
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// System.out.println("cause "+me.getCause());
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// System.out.println("excep "+me);
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// me.printStackTrace();
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// }
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// }
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//
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// public JSONObject messageParsing(String templateMessage) {
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// //给一个JSON对象
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// JSONObject jsonObject = new JSONObject();
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// //先截取出VIN码 然后根据VIN码查询这个车属于什么类型
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// if (templateMessage.length() < 18) {
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// throw new RuntimeException("The vehicle message is incorrect");
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// }
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// //将报文进行切割
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// String[] hexArray = templateMessage.split(" ");
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// StringBuilder result = new StringBuilder();
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// for (String hex : hexArray) {
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// int decimal = Integer.parseInt(hex, 16);
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// result.append((char) decimal);
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// }
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// //取出VIN码
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// String carVin = result.substring(0, 18 - 1);
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// log.info("carVin码为:" + carVin);
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// //根据VIN码获取车辆信息
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// SysCar carByVin = service.findCarByVin(carVin);
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// log.info("车辆信息为:" + carByVin);
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// //对应车辆所对应的报文模版
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// Integer templateId = carByVin.getTemplateId();
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// List<MessageTemplateType> templateTypeList;
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// //key
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// String redisKey = "messageTemplateType" + templateId;
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// //key存在
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// if (redisTemplate.hasKey(redisKey)) {
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//
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// List list = redisTemplate.opsForList().range(redisKey, 0, -1);
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//
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// templateTypeList = list.stream().map(o -> JSON.parseObject(o.toString(), MessageTemplateType.class))
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// .toList();
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// } else {
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// List<MessageTemplateType> templateTypeList1 = messageTemplateTypeService.findTemplateById(templateId);
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// templateTypeList = templateTypeList1;
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// templateTypeList.forEach(
|
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// templateType ->
|
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// redisTemplate.opsForList().rightPush(
|
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// redisKey, com.alibaba.fastjson.JSON.toJSONString(templateType)
|
||||
// )
|
||||
// );
|
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// }
|
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// //将模版里面有的配置进行循环
|
||||
// for (MessageTemplateType messageTemplateType : templateTypeList) {
|
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// //开始位置
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// Integer startIndex = messageTemplateType.getStartIndex() - 1;
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// //结束位置
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// Integer endIndex = messageTemplateType.getEndIndex();
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// //将每个解析后的字段都存入到JSON对象中
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// jsonObject.put(messageTemplateType.getMessageField(), result.substring(startIndex, endIndex));
|
||||
// }
|
||||
//
|
||||
// System.out.println("哈哈哈红红火火恍恍惚惚");
|
||||
// log.info("解析后的报文是:" + jsonObject);
|
||||
//
|
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// return jsonObject;
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// }
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//
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|
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@Autowired
|
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private RedisService redisService;
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|
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@Autowired
|
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private RedisTemplate redisTemplate;
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@Autowired
|
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private KafkaProducer kafkaProducer;
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|
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@Autowired
|
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private SysCarService service;
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@Autowired
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private MessageTemplateTypeService messageTemplateTypeService;
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@PostConstruct
|
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public void MQTTMonitoring(){
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|
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String topic = "vehicle";
|
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int qos = 2;
|
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String broker = "tcp://47.101.53.251:1883";
|
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String clientId = "lxy";
|
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try {
|
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MqttClient sampleClient = new MqttClient(broker, clientId);
|
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MqttConnectOptions connOpts = new MqttConnectOptions();
|
||||
//是否清空session
|
||||
connOpts.setCleanSession(false);
|
||||
log.info("Connecting to broker: " + broker);
|
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//连接
|
||||
sampleClient.connect(connOpts);
|
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sampleClient.subscribe(topic,0);
|
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sampleClient.setCallback(new MqttCallback() {
|
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//连接丢失(报错)
|
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@Override
|
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public void connectionLost(Throwable throwable) {
|
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log.error("error:"+throwable.getMessage());
|
||||
}
|
||||
//消息已经接收到
|
||||
@Override
|
||||
public void messageArrived(String s, MqttMessage mqttMessage) throws Exception {
|
||||
// 将MQTT消息转换为字符串
|
||||
String messageContent = new String(mqttMessage.getPayload());
|
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// 解析JSON字符串
|
||||
JSONObject jsonObject = new JSONObject(messageContent);
|
||||
// 从JSON对象中获取"msg"字段的值
|
||||
String msgValue = jsonObject.getStr("msg");
|
||||
// messageParsing(msgValue);
|
||||
log.info("接收到的值为:"+msgValue);
|
||||
}
|
||||
//交付完成
|
||||
@Override
|
||||
public void deliveryComplete(IMqttDeliveryToken iMqttDeliveryToken) {
|
||||
|
||||
}
|
||||
});
|
||||
} catch(MqttException me) {
|
||||
System.out.println("reason "+me.getReasonCode());
|
||||
System.out.println("msg "+me.getMessage());
|
||||
System.out.println("loc "+me.getLocalizedMessage());
|
||||
System.out.println("cause "+me.getCause());
|
||||
System.out.println("excep "+me);
|
||||
me.printStackTrace();
|
||||
}
|
||||
}
|
||||
|
||||
public JSONObject messageParsing(String templateMessage) {
|
||||
//给一个JSON对象
|
||||
JSONObject jsonObject = new JSONObject();
|
||||
//先截取出VIN码 然后根据VIN码查询这个车属于什么类型
|
||||
if (templateMessage.length() < 18) {
|
||||
throw new RuntimeException("The vehicle message is incorrect");
|
||||
}
|
||||
//将报文进行切割
|
||||
String[] hexArray = templateMessage.split(" ");
|
||||
StringBuilder result = new StringBuilder();
|
||||
for (String hex : hexArray) {
|
||||
int decimal = Integer.parseInt(hex, 16);
|
||||
result.append((char) decimal);
|
||||
}
|
||||
//取出VIN码
|
||||
String carVin = result.substring(0, 18 - 1);
|
||||
log.info("carVin码为:" + carVin);
|
||||
//根据VIN码获取车辆信息
|
||||
SysCar carByVin = service.findCarByVin(carVin);
|
||||
log.info("车辆信息为:" + carByVin);
|
||||
//对应车辆所对应的报文模版
|
||||
Integer templateId = carByVin.getTemplateId();
|
||||
List<MessageTemplateType> templateTypeList;
|
||||
//key
|
||||
String redisKey = "messageTemplateType" + templateId;
|
||||
//key存在
|
||||
if (redisTemplate.hasKey(redisKey)) {
|
||||
|
||||
List list = redisTemplate.opsForList().range(redisKey, 0, -1);
|
||||
|
||||
templateTypeList = list.stream().map(o -> JSON.parseObject(o.toString(), MessageTemplateType.class))
|
||||
.toList();
|
||||
} else {
|
||||
List<MessageTemplateType> templateTypeList1 = messageTemplateTypeService.findTemplateById(templateId);
|
||||
templateTypeList = templateTypeList1;
|
||||
templateTypeList.forEach(
|
||||
templateType ->
|
||||
redisTemplate.opsForList().rightPush(
|
||||
redisKey, com.alibaba.fastjson.JSON.toJSONString(templateType)
|
||||
)
|
||||
);
|
||||
}
|
||||
//将模版里面有的配置进行循环
|
||||
for (MessageTemplateType messageTemplateType : templateTypeList) {
|
||||
//开始位置
|
||||
Integer startIndex = messageTemplateType.getStartIndex() - 1;
|
||||
//结束位置
|
||||
Integer endIndex = messageTemplateType.getEndIndex();
|
||||
//将每个解析后的字段都存入到JSON对象中
|
||||
jsonObject.put(messageTemplateType.getMessageField(), result.substring(startIndex, endIndex));
|
||||
}
|
||||
|
||||
log.info("解析后的报文是:" + jsonObject);
|
||||
sendKafka(jsonObject);
|
||||
log.info("发送kafka成功");
|
||||
return jsonObject;
|
||||
}
|
||||
|
||||
|
||||
public void sendKafka(JSONObject jsonObject){
|
||||
ProducerRecord<String, String> stringStringProducerRecord = new ProducerRecord<>("four_car", jsonObject.toString());
|
||||
kafkaProducer.send(stringStringProducerRecord);
|
||||
log.info("kafka发送成功");
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -22,6 +22,12 @@
|
|||
</description>
|
||||
|
||||
<dependencies>
|
||||
|
||||
<dependency>
|
||||
<groupId>org.springframework.amqp</groupId>
|
||||
<artifactId>spring-rabbit</artifactId>
|
||||
</dependency>
|
||||
|
||||
<!--mqtt依赖-->
|
||||
<dependency>
|
||||
<groupId>org.springframework.integration</groupId>
|
||||
|
@ -29,6 +35,12 @@
|
|||
<version>6.2.5</version>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>com.muyu</groupId>
|
||||
<artifactId>cloud-common-kafka</artifactId>
|
||||
<version>3.6.3</version>
|
||||
</dependency>
|
||||
|
||||
<!--kafka-->
|
||||
<dependency>
|
||||
<groupId>org.springframework.kafka</groupId>
|
||||
|
|
|
@ -24,6 +24,12 @@
|
|||
|
||||
<dependencies>
|
||||
|
||||
<!-- Spring Boot Starter for AMQP -->
|
||||
<dependency>
|
||||
<groupId>org.springframework.boot</groupId>
|
||||
<artifactId>spring-boot-starter-amqp</artifactId>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>com.muyu</groupId>
|
||||
<artifactId>saas-cache</artifactId>
|
||||
|
|
|
@ -1,17 +1,25 @@
|
|||
package com.muyu.server.controller;
|
||||
|
||||
import com.alibaba.fastjson2.JSONObject;
|
||||
import com.muyu.common.core.domain.Result;
|
||||
import com.muyu.common.domain.SysCar;
|
||||
import com.muyu.common.domain.req.SysCarReq;
|
||||
import com.muyu.common.domain.resp.SysCarFaultLogVo;
|
||||
import com.muyu.common.kafka.config.KafkaProducerConfig;
|
||||
import com.muyu.common.redis.service.RedisService;
|
||||
import com.muyu.server.service.SysCarService;
|
||||
import io.swagger.v3.oas.annotations.Operation;
|
||||
import io.swagger.v3.oas.annotations.tags.Tag;
|
||||
import lombok.AllArgsConstructor;
|
||||
import lombok.extern.log4j.Log4j2;
|
||||
import org.apache.kafka.clients.producer.KafkaProducer;
|
||||
import org.apache.kafka.clients.producer.ProducerRecord;
|
||||
import org.springframework.amqp.rabbit.annotation.RabbitListener;
|
||||
import org.springframework.amqp.rabbit.core.RabbitTemplate;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.web.bind.annotation.*;
|
||||
|
||||
import javax.security.auth.callback.Callback;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
|
@ -30,6 +38,16 @@ public class SysCarController {
|
|||
@Autowired
|
||||
private SysCarService sysCarService;
|
||||
|
||||
@Autowired
|
||||
private RabbitTemplate rabbitTemplate;
|
||||
|
||||
@Autowired
|
||||
private RedisService redisService;
|
||||
|
||||
@Autowired
|
||||
private KafkaProducer kafkaProducer;
|
||||
|
||||
|
||||
/**
|
||||
* 车辆列表
|
||||
* @param sysCarReq 参数
|
||||
|
@ -91,10 +109,13 @@ public class SysCarController {
|
|||
* @return
|
||||
*/
|
||||
@PostMapping("/findCarByVin")
|
||||
// @Operation(summary = "根据VIN码查询车信息",description = "根据VIN码查询车信息")
|
||||
@Operation(summary = "根据VIN码查询车信息",description = "根据VIN码查询车信息")
|
||||
public Result<SysCar> findCarByVin(@RequestParam("carVin") String carVin){
|
||||
List<Object> carList = redisService.getCacheList("carList");
|
||||
log.info("从缓存查到的数据是:"+carList);
|
||||
return Result.success(sysCarService.findCarByVin(carVin));
|
||||
}
|
||||
|
||||
|
||||
|
||||
}
|
||||
|
|
Loading…
Reference in New Issue